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A controller design and analysis using asymmetry triangular cloud models | ||
| Iranian Journal of Fuzzy Systems | ||
| دوره 20، شماره 2، خرداد و تیر 2023، صفحه 33-55 اصل مقاله (844.34 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22111/ijfs.2023.7555 | ||
| نویسندگان | ||
| U. S. Pak* 1؛ Y. N. Kim1؛ J. Y. Kim2؛ J. S. Ri2 | ||
| 1Faculty of Electronic and Automatic engineering, Kim Il Sung University, Pyongyang, Democratic Peoples Republic of Korea | ||
| 2Postgraduate school, Kim Il Sung University, Pyongyang, Democratic Peoples Republic of Korea | ||
| چکیده | ||
| The cloud model is one of the mathematical tools that realize the transformation of quantitative information from qualitative data. Therefore, cloud model theory is widely used in computer science, reliability estimation, nonlinear function approximation, controller design, etc. In general, cloud controller design is known to use Gaussian membership clouds. However, it is computationally expensive because membership cloud computing is a nonlinear operation, and it has a disadvantage that it is difficult to decompose the structure of the controller. This paper proposes a new asymmetric triangular cloud model consisting of linear operations instead of Gaussian functions and, on this basis, develops a controller design method to approximate the output of the controlled plant to the desired value. Furthermore, it is demonstrated that the proposed controller is capable of stability analysis even if the mathematical model of the plant is not given, and it is validated by simulation of electrode up and down control of ultra-high power electric arc furnace and stabilization control of inverted pendulum. | ||
| کلیدواژهها | ||
| Fuzzy sets؛ asymmetry triangular membership cloud؛ cloud model؛ controller design؛ stability analysis | ||
| مراجع | ||
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